Body sensor networks to evaluate standing balance: interpreting muscular activities based on inertial sensors

Authors:
Rohith Ramachandran;Lakshmish Ramanna;Hassan Ghasemzadeh;Gaurav Pradhan;Roozbeh Jafari;Balakrishnan Prabhakaran
Affiliations:
University of Texas at Dallas, Richardson, TX;University of Texas at Dallas, Richardson, TX;University of Texas at Dallas, Richardson, TX;University of Texas at Dallas, Richardson, TX;University of Texas at Dallas, Richardson, TX;University of Texas at Dallas, Richardson, TX
Venue:
Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments
Year:
2008

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Abstract

In this paper, we present a system that integrates inertial sensors and electromyogram (EMG) signals, which measures the muscular activities while performing motions. The objective of our study is to investigate the behaviour of the EMG signals to interpret the activity of standing balance. Quantitative parameters for balance are obtained from an inertial sensor through a body-sensor network. These parameters are further used to find the prominent features in the EMG signal. The inertial sensor used in this system is an accelerometer. The implementation details and effectiveness of using EMG signals are also provided.